CN114821830B - In-road parking management method, system, equipment and storage medium - Google Patents

In-road parking management method, system, equipment and storage medium Download PDF

Info

Publication number
CN114821830B
CN114821830B CN202210765193.4A CN202210765193A CN114821830B CN 114821830 B CN114821830 B CN 114821830B CN 202210765193 A CN202210765193 A CN 202210765193A CN 114821830 B CN114821830 B CN 114821830B
Authority
CN
China
Prior art keywords
information
parking space
image information
screening
vehicle
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202210765193.4A
Other languages
Chinese (zh)
Other versions
CN114821830A (en
Inventor
燕志强
伊超
熊峰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Chengdu Ebo Information Technology Co ltd
Original Assignee
Chengdu Ebo Information Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Chengdu Ebo Information Technology Co ltd filed Critical Chengdu Ebo Information Technology Co ltd
Priority to CN202210765193.4A priority Critical patent/CN114821830B/en
Publication of CN114821830A publication Critical patent/CN114821830A/en
Application granted granted Critical
Publication of CN114821830B publication Critical patent/CN114821830B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07BTICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
    • G07B15/00Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points
    • G07B15/02Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points taking into account a variable factor such as distance or time, e.g. for passenger transport, parking systems or car rental systems
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/56Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
    • G06V20/58Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
    • G06V20/586Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads of parking space
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/60Type of objects
    • G06V20/62Text, e.g. of license plates, overlay texts or captions on TV images
    • G06V20/625License plates
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/017Detecting movement of traffic to be counted or controlled identifying vehicles
    • G08G1/0175Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules

Abstract

The invention is suitable for the technical field of parking, and provides an in-road parking management method, a system, equipment and a storage medium, wherein the in-road parking management method comprises the following steps: step S100: acquiring a plurality of pieces of image information of a target parking space in a target road, wherein the image information is acquired by at least one running vehicle; step S200: screening the image information to obtain effective image information; step S300: and calculating the parking time of the vehicle in the target parking space in the target road according to the effective image information. By adopting the on-road management method, the social driving vehicle calculation resources are utilized to obtain the image information of the target parking space in the target on-road, the parking management is performed by a large amount of manpower and expensive equipment in the prior art, the manpower is liberated, and the driving vehicles are fully utilized to realize the automatic management of the on-road vehicles.

Description

In-road parking management method, system, equipment and storage medium
Technical Field
The present invention relates to the field of parking, and in particular, to a method, system, device and storage medium for managing on-road parking.
Background
In the prior art, usually, when parking in the road, a large amount of human resources are required to be relied on for the management of parking spaces, and a large amount of equipment, such as video equipment, geomagnetic equipment, handheld terminals and the like, is required to be input, and the parking duration of each vehicle on the parking spaces in the road is obtained through the cooperation between the staff and the equipment, but the following problems can be caused:
the existing on-road parking space management needs to invest in parking management equipment, such as handheld PDA, geomagnetic parking space detectors, high and low video cameras, parking space locks and other equipment, and meanwhile, the construction investment cost of the equipment is high;
most of parking space management in the road still needs a lot of manpower to participate, for example, the entry of license plate numbers in vehicle information, patrol by personnel in a patrol mode and the like, the manpower cost required to be invested is high, and economic burden is caused;
in-road parking management systems also require extensive routine equipment maintenance such as equipment maintenance, personnel training, etc.
Disclosure of Invention
The invention aims to provide an in-road parking management method, a system, equipment and a storage medium, which are used for solving the technical problems in the prior art and mainly comprise the following four aspects:
the application provides an on-road parking management method in a first aspect, which comprises the following steps:
step S100: acquiring a plurality of pieces of image information of a target parking space in a target road, wherein when the target parking space is in a non-occupied state, the plurality of pieces of image information at least comprise one of a parking space number, a parking space state and acquisition time; when the target parking space is in an occupied state, the target parking space comprises a parking space number, a parking space state, a license plate number of a vehicle parked on the parking space and acquisition time; the image information is collected by at least one running vehicle;
step S200: screening the image information to obtain effective image information, wherein the effective image information comprises the acquisition time of the vehicle in the target parking space when the vehicle enters and the acquisition time of the vehicle when the vehicle exits;
step S300: and calculating the parking time of the vehicle in the target parking space in the target road according to the effective image information.
Further, step S100 further includes: the running vehicle is a vehicle passing through the target road.
Further, step S200 includes:
when the image information is collected by a running vehicle, setting primary screening information, wherein the primary screening information is time screening information, and screening the image information according to the time screening information to obtain effective image information;
when the image information is collected by a plurality of running vehicles, setting multi-level screening information, and screening the image information according to the multi-level screening information to obtain effective image information;
the multi-level screening information comprises time screening information, license plate number screening information and image definition screening information, and the priority level of the screening information is that the time screening information > the license plate number screening information > the image definition screening information.
Further, step 300 includes:
obtaining license plate number information of a vehicle driving into the target parking space according to the effective image information;
acquiring the acquisition time of the vehicle driving into the target parking space, and recording the acquisition time as the driving time;
acquiring the collection time of the vehicle exiting the target parking space, and recording the collection time as the exiting time;
and calculating to obtain the parking time of the vehicle in the target parking space according to the entrance time and the exit time.
And further, identifying the state information of the target parking space according to the effective image information, and recommending the vehicles needing to be parked according to the state information.
A second aspect of the present application provides an in-road parking management system, comprising the following modules:
the system comprises an image acquisition module, a storage module and a display module, wherein the image acquisition module is used for acquiring a plurality of pieces of image information of a target parking space in a target road, and when the target parking space is in a non-occupied state, the plurality of pieces of image information at least comprise one of a parking space number, a parking space state and acquisition time; when the target parking space is in an occupied state, the target parking space comprises a parking space number, a parking space state, a license plate number of a vehicle parked on the parking space and acquisition time; the image information is collected by at least one running vehicle;
the screening module is used for screening the image information to obtain effective image information, and the effective image information comprises the acquisition time when the vehicle enters the target parking space and the acquisition time when the vehicle exits;
a calculation module: and calculating the parking time of the vehicle in the target parking space in the target road according to the effective image information.
Further, the image acquisition module further comprises:
the running vehicle is a vehicle passing through the target road.
Further, the screening module is further configured to:
when the image information is collected by a running vehicle, setting primary screening information, wherein the primary screening information is time screening information, and screening the image information according to the time screening information to obtain effective image information;
when the image information is collected by a plurality of running vehicles, setting multi-level screening information, and screening the image information according to the multi-level screening information to obtain effective image information;
the multi-level screening information comprises time screening information, license plate number screening information and image definition screening information, and the priority level of the screening information is time screening information, license plate number screening information and image definition screening information.
A third aspect of the present application provides a computer device comprising: the system comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor realizes the steps in the in-road parking management method when executing the computer program.
A fourth aspect of the present application provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps in the above-described in-road parking management method.
Compared with the prior art, the invention at least has the following technical effects:
(1) by adopting the on-road management method, the social driving vehicle computing resources are utilized to obtain the image information of the target parking space in the target road, the parking management system calculates and obtains the parking management and the parking duration calculation of the parked vehicle in the target parking space through the uploaded image information, the parking management method replaces the prior art that the parking management is carried out through a large amount of manpower and expensive equipment, the manpower is liberated, and the driving vehicles are fully utilized to realize the automatic management of the on-road vehicles.
(2) Through setting up multistage screening information in this application, the image information to the target parking stall in the target road that parking area high in the clouds management system can be full automatization filters, and it is long when can accurately obtain the parking of vehicle in the target parking stall, and subjective error when having avoided artifical screening effective image information leads to the long calculation error of parking vehicle in the target parking stall.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments of the present invention or in the description of the prior art will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic flow chart of an in-road parking management method of the present invention;
FIG. 2 is a schematic diagram of the structure of the in-road parking management method of the present invention;
FIG. 3 is a schematic diagram of the structure of a computer device in the present invention;
fig. 4 is a schematic structural diagram of a computer-readable storage medium in the present invention.
Detailed Description
The following description provides many different embodiments, or examples, for implementing different features of the invention. The particular examples set forth below are illustrative only and are not intended to be limiting.
Aspects of the present invention will be described more fully hereinafter with reference to the accompanying drawings. This invention may, however, be embodied in many different forms and should not be construed as limited to any specific structure or function presented throughout this disclosure. Rather, these aspects are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. Based on the teachings herein one skilled in the art should appreciate that the scope of the present invention is intended to cover any aspect disclosed herein, whether alone or in combination with any other aspect of the invention to achieve any aspect disclosed herein. For example, any number of apparatus or methods of execution may be implemented as set forth herein. In addition, the scope of the present invention is intended to cover apparatuses or methods implemented with other structure, functionality, or structure and functionality in addition to the various aspects of the invention set forth herein.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.
All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It is noted that the terms used herein should be interpreted as having a meaning that is consistent with the context of this specification and should not be interpreted in an idealized or overly formal sense.
In the prior art, a large amount of labor cost and equipment resources are needed for managing the in-road parking at present, and further the problem of high parking cost is caused. The implementation method of the application comprises the following steps:
the first embodiment is as follows:
as shown in fig. 1-2, an embodiment of the present application provides an in-road parking management method, including:
step S100: acquiring a plurality of pieces of image information of a target parking space in a target road, wherein when the target parking space is in a non-occupied state, the plurality of pieces of image information at least comprise one of a parking space number, a parking space state and acquisition time; when the target parking space is in an occupied state, the target parking space comprises a parking space number, a parking space state, a license plate number of a vehicle parked on the parking space and acquisition time; the image information is collected by at least one running vehicle;
step S200: screening the image information to obtain effective image information, wherein the effective image information comprises the acquisition time of the vehicle in the target parking space when the vehicle enters and the acquisition time of the vehicle when the vehicle exits;
step S300: and calculating the parking time of the vehicle in the target parking space in the target road according to the effective image information.
Further, step S100 further includes: the running vehicle is a vehicle passing through the target road.
In the above scheme, at first, the corresponding parking stall number recognition device needs to be arranged at the target parking stall in the road, and the recognition device can be a handwritten parking stall number on the parking stall, a parking stall board arranged on each parking stall, and can also adopt laser recognition, Bluetooth recognition, video OCR recognition labels and the like, so that the subsequent parking management system can manage the parking stalls in the road and recognize the shot vehicles by the running vehicles. Meanwhile, the traveling vehicle needs to be equipped with a device for recognizing the number of the parking space.
The parking lot cloud management system firstly acquires a plurality of pieces of image information of a target parking space in a target road, which is uploaded by a running vehicle, and can acquire a plurality of pieces of information of the target parking space through the image information, such as the use state of the target parking space; when the acquired image information includes the parking space number, the parking space state, the license plate number of the vehicle parked in the parking space, and the acquisition time, it can be known that the acquired image information of the target parking space includes not only the information of the parking space but also the information of the vehicle located in the parking space, which indicates that the target parking space is in the occupied state.
It should be noted that, in this application, the plurality of image information of the target parking space in the target road, which is acquired by the parking lot cloud management system, is not uploaded by patrol personnel, is not uploaded by the image acquisition device located on the parking space, but is uploaded by the vehicle in driving of the target parking space in the target road. The vehicle that traveles is the vehicle when passing through/passing through the target parking stall, the vehicle that traveles can download application software/transmission device and the collection device who gathers the image, when the vehicle that traveles passes through the target parking stall in the target road, can pass through the collection device automatic acquisition target parking stall's of installing image information on it, and transmit image information for parking area high in the clouds management system through application software or transmission device, parking area high in the clouds management system filters through the image information who uploads and calculates the parking duration of corresponding vehicle on the different target parking stalls, and then realize carrying out the automatic charging to the vehicle that parks.
It should be noted that, the vehicle that traveles does not do the restriction here in this application, can car, electric motor car, motorcycle etc. as long as can realize the image information collection to target parking stall in the target road and upload to parking area cloud management system can.
In the application, because a plurality of pieces of image information of the target parking space in the target road are acquired by the running vehicle, the randomness is relatively high, and each piece of uploaded image information can not be used, for example, a plurality of pieces of image information of the No. 1 parking space in an idle state are available, some image information clearly shoots the parking space number, and some image information does not clearly shoot or does not shoot, so that the image information under the condition can not be used; therefore, after the parking lot cloud management system obtains the multiple image information of the target parking space in the target road uploaded by the running vehicle, the obtained image information needs to be screened for subsequent use, effective image information related to the parking time of the target parking space needs to be screened out from the image information, namely the effective image information needs to be screened out through the multiple image information of the target parking space in the target road, the collection time of the vehicle running into the target parking space and the collection time of the vehicle running out of the target parking space are obtained through the effective image information, and then the parking time of the vehicle parked in the target parking space in the target road is calculated according to the difference between the collection time of the vehicle running into the target parking space and the collection time of the vehicle running out of the target parking space.
On this basis, the parking lot management system can send the parking duration of parking the vehicle in the target parking stall in the target road and or effective image information to the charge management department of the parking lot export, also can send the user of parking the vehicle, wherein can regard image information as the parking voucher information, realize that the parking of this vehicle is paid fee, realize the convenient management to the parking stall in the parking lot.
Therefore, by adopting the in-road management method, the social driving vehicle force calculation resource is utilized to obtain the image information of the target parking space in the target road, the parking management system calculates and obtains the parking management and the parking duration calculation of the parked vehicle in the target parking space through the uploaded image information, the parking management method replaces the prior art that the parking management is carried out through a large amount of manpower and expensive equipment, frees the manpower, and fully utilizes the driving vehicle to realize the automatic management of the in-road vehicle.
Further, step S200 includes:
when the image information is collected by a running vehicle, setting primary screening information, wherein the primary screening information is time screening information, and screening the image information according to the time screening information to obtain effective image information;
when the image information is collected by a plurality of running vehicles, setting multi-level screening information, and screening the image information according to the multi-level screening information to obtain effective image information;
the multi-level screening information comprises time screening information, license plate number screening information and image definition screening information, and the priority level of the screening information is time screening information, license plate number screening information and image definition screening information.
In the above-mentioned scheme, the number of the running vehicles collecting the image information of the target parking space in the target road is not limited, but in the present application, the situation of the same target parking space is collected at the same time for the running vehicles with different numbers, and different methods for screening effective image information are set according to the possible situations, and the specific screening method is as follows:
when the parking lot cloud management system learns at the background that the acquired image information of the same target parking space is shot by the same running vehicle, only the acquisition time in the image information needs to be screened as screening information, namely screening conditions, because the most important management of the parking space is the parking time, and the parking time is closely related to the amount of parking cost paid by a user of the vehicle parked in the target parking space, therefore, when only one vehicle shoots the image information of the target parking space, only the acquisition time information is used as the screening information. In this case, the method for acquiring effective image information from the image information of the same target parking space in the target road acquired by the parking lot cloud management system comprises the following steps: firstly, sequencing acquired image information of the target parking space according to acquisition time, namely sequencing according to the sequence of the acquisition time, then selecting acquisition time when the vehicle enters the target parking space and acquisition time when the vehicle exits the target parking space, and then calculating the difference between the acquisition time when the vehicle enters the target parking space and the acquisition time when the vehicle exits the target parking space, namely the time when the vehicle parks in the target parking space.
As shown in fig. 2, when the parking lot cloud management system learns at the background that the acquired image information of the same target parking space 11 is a plurality of traveling vehicles, if the traveling vehicles 1, 2 and other traveling vehicles are photographed, multi-level screening information needs to be set, and priority levels among the multi-level screening information are set, in this application, three levels of screening information are set, which are time screening information, license plate number screening information, image definition screening information, and the screening priority levels among the three levels of screening information are: the time screening information, the license plate screening information and the image definition screening information are used as the most priority screening conditions, the most important condition for the management of the parking space is the parking time, the parking time is closely related to the parking fee paid by a user of a vehicle parked in the target parking space, and the time that the target parking space is in an idle state can be acquired through acquiring time;
if a plurality of running vehicles in the same target parking space acquire image information, the image information about the same target parking space acquired by the parking lot cloud management system is more numerous than the image information about the target parking space acquired by only one running vehicle, under the condition, the image information can be grouped according to the acquisition time, for example, the image information is divided into one group at intervals of 5 minutes, so that the screening speed can be accelerated, and then the acquisition time of the vehicles running into the target parking space and the acquisition time of the vehicles running into the target parking space are selected, namely the effective information, namely the parking time of the vehicles in the target parking space, can be obtained; under the condition that the parking time is ensured to be accurately obtained, the accurate information of the vehicle in the target parking space is ensured, therefore, if a plurality of pieces of image information with the same time for the vehicle to drive into the target parking space exist, the plurality of pieces of image information are compared, the license plate information of the vehicle in which piece of image information is most comprehensive and complete is seen, and the corresponding image information is used as the acquisition time for the vehicle to drive into or out of the target parking space; on the basis, if the image information has the condition that the license plate number information is the same and cannot be screened, the image information is screened with higher image definition, namely, the image information with the least invalid/interference information is selected, the image information with the clearest license plate number is shot, and finally the image information is used as the acquisition time for the vehicle to enter or exit the target parking space.
It should be noted that, the multi-level filtering information may also be configured with other filtering information, such as size, collection angle, and other information in the image information, as the filtering information, to select more accurate effective image information.
Through setting up multistage screening information in this application, the image information to the target parking stall in the target road that parking area high in the clouds management system can be full automatization filters, and it is long when can accurately obtain the parking of vehicle in the target parking stall, and subjective error when having avoided artifical screening effective image information leads to the long calculation error of parking vehicle in the target parking stall.
Further, step 300 includes:
obtaining license plate number information of a vehicle driving into the target parking space according to the effective image information;
acquiring the acquisition time of the vehicle driving into the target parking space, and recording the acquisition time as the driving time;
acquiring the collection time of the vehicle exiting the target parking space, and recording the collection time as the exiting time;
and calculating to obtain the parking time of the vehicle in the target parking space according to the entrance time and the exit time.
According to the scheme, the parking lot cloud management system can screen effective information from image information of target vehicles in a target road uploaded by driving vehicles, license plate information of the vehicles driving into the target parking spaces can be obtained through the effective image information obtained after multi-stage information screening, driving-in time and driving-out time of the vehicles driving into the target parking spaces are obtained, the parking time of the vehicles in the target parking spaces can be obtained by calculating the difference value of the driving-in time and the driving-out time, then the parking time and the license plate information can be sent to a parking lot exit system and/or users of the vehicles, and parking fee payment is further completed.
Specifically, the entry time and the exit time of the vehicle in the target parking space in the present application may be obtained as follows, and it is assumed that the parking duration of the vehicle a in the target parking space 11 needs to be calculated in the present application:
the driving-in time is as follows: the acquired image information of the target parking space is sequenced according to the acquisition time, and the image information of the vehicle A entering the target parking space 11 is selected, for example, the acquisition time of the vehicle A entering the target parking space 11 is 10:00, two situations may occur before the vehicle A enters the target parking space 11, one situation is that the target parking space 11 is in an idle state when the target parking space 11 is 9:59, the other situation is that the vehicle B stops at the parking space when the target parking space 11 is 9:59, and at the moment, the entry time of the vehicle A entering the target vehicle is 10: 00.
The exit time is as follows: the acquired image information of the target parking space is sorted according to the acquisition time, and the image information that the vehicle A exits the target parking space 11 is selected, for example, the acquisition time that the vehicle A exits the target parking space 11 is 12:00, two situations may occur after the vehicle A exits the target parking space 11, one situation is that the target parking space 11 is in an idle state when the vehicle A exits 12:01, the other situation is that the vehicle B stops at the parking space when the target parking space 11 exits 12:01, and at the moment, the exit time that the vehicle A exits the target vehicle is 12: 00.
The parking time is 2 hours, based on the departure time, the entrance time = the parking time, i.e. 12:00-10:00=2 h.
And further, identifying the state information of the target parking space according to the effective image information, and recommending the vehicles needing to be parked according to the state information.
In the above scheme, as shown in fig. 2, the image information of the target parking space in the target road acquired by the parking lot management system can acquire the parking space state of the target parking space, that is, occupied or idle, and can synchronously recommend the state information of the parking space to the subsequent vehicle needing to be parked in time, or recommend the parking space to the subsequent vehicle needing to be parked through the parking lot management system when or when the state of the target parking space is an idle state.
The method for managing the in-road parking can also achieve the effect that the running vehicle obtains benefits in the usual running process, for example, the parking lot can obtain effective image information in the image information of the target in-road target parking space acquired by the running vehicle, then the cost of the running vehicle in a certain proportion is paid as a reward, and meanwhile, the parking lot management system saves a large amount of manpower and material resources.
The second embodiment:
the on-road parking management system provided by the second embodiment of the invention can realize each implementation mode in the on-road parking management method embodiment and corresponding beneficial effects, and is not repeated here for avoiding repetition.
The second embodiment of the application provides an on-road parking management system, which comprises the following modules:
the system comprises an image acquisition module, a storage module and a display module, wherein the image acquisition module is used for acquiring a plurality of pieces of image information of a target parking space in a target road, and when the target parking space is in a non-occupied state, the plurality of pieces of image information at least comprise one of a parking space number, a parking space state and acquisition time; when the target parking space is in an occupied state, the target parking space comprises a parking space number, a parking space state, a license plate number of a vehicle parked on the parking space and acquisition time; the image information is collected by at least one running vehicle;
the screening module is used for screening the image information to obtain effective image information, and the effective image information comprises the acquisition time when the vehicle enters the target parking space and the acquisition time when the vehicle exits;
a calculation module: and calculating the parking time of the vehicle in the target parking space in the target road according to the effective image information.
Further, the image acquisition module further comprises:
the running vehicle is a vehicle passing through the target road.
Further, the screening module is further configured to:
when the image information is collected by a running vehicle, setting primary screening information, wherein the primary screening information is time screening information, and screening the image information according to the time screening information to obtain effective image information;
when the image information is collected by a plurality of running vehicles, setting multi-level screening information, and screening the image information according to the multi-level screening information to obtain effective image information;
the multi-level screening information comprises time screening information, license plate number screening information and image definition screening information, and the priority level of the screening information is time screening information, license plate number screening information and image definition screening information.
Further, the calculation module is further configured to:
obtaining license plate number information of a vehicle driving into the target parking space according to the effective image information;
acquiring the acquisition time of the vehicle driving into the target parking space, and recording the acquisition time as the driving time;
acquiring the collection time of the vehicle exiting the target parking space, and recording the collection time as the exiting time;
and calculating to obtain the parking time of the vehicle in the target parking space according to the entrance time and the exit time.
And the recommendation module is used for identifying the state information of the target parking space according to the effective image information and recommending the vehicles needing to be parked according to the state information.
Example three:
an embodiment provides a computer device, including: the system comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor realizes the steps in the in-road parking management method when executing the computer program.
Fig. 3 is a block diagram of a computer device 1100 (electronic device 1100) according to a third embodiment of the present disclosure. The computer device 1100 in the present application may include one or more of the following components: memory 1110, processor 1120, and one or more applications, wherein the one or more applications may be stored in memory 1110 and configured to be executed by the one or more processors 1120, the one or more programs configured to perform a method as described in the aforementioned method embodiments.
The Memory 1110 may include a Random Access Memory (RAM) or a Read-Only Memory (ROM). The memory 1110 may be used to store instructions, programs, code sets, or instruction sets. The memory 1110 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for implementing at least one function (such as a histogram equalization function, etc.), instructions for implementing various method embodiments described below, and the like. The stored data area may also store data created during use by the computer device 1100 (such as image matrix data, etc.).
Processor 1120 may include one or more processing cores. The processor 1120 interfaces with various components throughout the computer device 1100 using various interfaces and lines to perform various functions of the computer device 1100 and process data by executing or performing instructions, programs, code sets, or instruction sets stored in the memory 1110 and invoking data stored in the memory 1110. Alternatively, the processor 1120 may be implemented in hardware using at least one of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), and Programmable Logic Array (PLA). The processor 1120 may integrate one or more of a Central Processing Unit (CPU), a modem, and the like. Wherein, the CPU mainly processes an operating system, an application program and the like; the modem is used to handle wireless communications. It is understood that the modem may not be integrated into the processor 1120, but may be implemented by a communication chip.
Example four:
an embodiment of the present application provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps in the above-mentioned in-road parking management method are implemented.
Fig. 4 shows a block diagram of a computer-readable storage medium according to a fourth embodiment of the present application. The computer readable storage medium 1200 has stored therein a program code 1210, said program code 1210 being invokable by a processor for performing the method described in the above method embodiments.
The computer-readable storage medium 1200 may be an electronic memory such as a flash memory, an EEPROM (electrically erasable programmable read only memory), an EPROM (erasable programmable read only memory), a hard disk, or a ROM. Alternatively, the computer-readable storage medium 1200 includes a non-volatile computer-readable storage medium. The computer readable storage medium 1200 has storage space for program code 1210 that performs any of the method steps described above. The program code can be read from or written to one or more computer program products. The program code 1210 may be compressed, for example, in a suitable form.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.

Claims (8)

1. An in-road parking management method, comprising:
step S100: acquiring a plurality of pieces of image information of a target parking space in a target road, wherein when the target parking space is in a non-occupied state, the plurality of pieces of image information at least comprise one of a parking space number, a parking space state and acquisition time; when the target parking space is in an occupied state, the target parking space comprises a parking space number, a parking space state, a license plate number of a vehicle parked on the parking space and acquisition time; the image information is collected by at least one running vehicle;
step S200: screening the image information to obtain effective image information, wherein the effective image information comprises the acquisition time of the vehicle in the target parking space when the vehicle enters and the acquisition time of the vehicle when the vehicle exits;
step S300: calculating the parking time of the vehicle in the target parking space in the target road according to the effective image information;
the step S200 includes:
when the image information is collected by a running vehicle, setting primary screening information, wherein the primary screening information is time screening information, and screening the image information according to the time screening information to obtain effective image information;
when the image information is collected by a plurality of running vehicles, setting multi-level screening information, and screening the image information according to the multi-level screening information to obtain effective image information;
the multi-level screening information comprises time screening information, license plate number screening information and image definition screening information, and the priority level of the screening information is time screening information, license plate number screening information and image definition screening information.
2. The on-road parking management method according to claim 1, wherein step S100 further comprises: the running vehicle is a vehicle passing through the target road.
3. The on-road parking management method of claim 1, wherein step 300 comprises:
acquiring license plate number information of a vehicle driving into the target parking space according to the effective image information;
acquiring the acquisition time of the vehicle driving into the target parking space, and recording the acquisition time as the driving time;
acquiring the collection time of the vehicle exiting the target parking space, and recording the collection time as the exiting time;
and calculating to obtain the parking time of the vehicle in the target parking space according to the entrance time and the exit time.
4. An in-road parking management method according to any one of claims 1 to 3, wherein status information of the target parking space is identified based on the effective image information, and a vehicle to be parked is recommended based on the status information.
5. An on-road parking management system, characterized by comprising the following modules:
the system comprises an image acquisition module, a storage module and a display module, wherein the image acquisition module is used for acquiring a plurality of pieces of image information of a target parking space in a target road, and when the target parking space is in a non-occupied state, the plurality of pieces of image information at least comprise one of a parking space number, a parking space state and acquisition time; when the target parking space is in an occupied state, the target parking space comprises a parking space number, a parking space state, a license plate number of a vehicle parked on the parking space and acquisition time; the image information is collected by at least one running vehicle;
the screening module is used for screening the image information to obtain effective image information, and the effective image information comprises the acquisition time when the vehicle enters the target parking space and the acquisition time when the vehicle exits;
a calculation module: calculating the parking time of the vehicle in the target parking space in the target road according to the effective image information;
the screening module is further configured to:
when the image information is collected by one running vehicle, setting primary screening information, wherein the primary screening information is time screening information, and screening the image information according to the time screening information to obtain effective image information;
when the image information is collected by a plurality of running vehicles, setting multi-level screening information, and screening the image information according to the multi-level screening information to obtain effective image information;
the multi-level screening information comprises time screening information, license plate number screening information and image definition screening information, and the priority level of the screening information is time screening information, license plate number screening information and image definition screening information.
6. The on-road parking management system of claim 5 wherein the image acquisition module further comprises:
the running vehicle is a vehicle passing through the target road.
7. A computer device, comprising: memory, processor and computer program stored on the memory and executable on the processor, the processor implementing the steps in the method of in-road parking management according to any of claims 1 to 4 when executing the computer program.
8. A computer-readable storage medium, having stored thereon a computer program which, when executed by a processor, carries out the steps in the method for in-road parking management according to any one of claims 1 to 4.
CN202210765193.4A 2022-07-01 2022-07-01 In-road parking management method, system, equipment and storage medium Active CN114821830B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210765193.4A CN114821830B (en) 2022-07-01 2022-07-01 In-road parking management method, system, equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210765193.4A CN114821830B (en) 2022-07-01 2022-07-01 In-road parking management method, system, equipment and storage medium

Publications (2)

Publication Number Publication Date
CN114821830A CN114821830A (en) 2022-07-29
CN114821830B true CN114821830B (en) 2022-09-06

Family

ID=82523292

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210765193.4A Active CN114821830B (en) 2022-07-01 2022-07-01 In-road parking management method, system, equipment and storage medium

Country Status (1)

Country Link
CN (1) CN114821830B (en)

Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103065370A (en) * 2012-12-21 2013-04-24 南京九竹科技实业有限公司 Intelligent parking charging management system based on vehicle environment protection electronic tag
JP2015203884A (en) * 2014-04-10 2015-11-16 富士通株式会社 Terminal device, display control program and display control method
CN108986539A (en) * 2018-09-19 2018-12-11 北京通智能科技有限公司 Parking management system, method, vehicle information collecting device and management server
WO2018233005A1 (en) * 2017-06-19 2018-12-27 深圳市盛路物联通讯技术有限公司 Mobile network-based parking fee collection method and system
CN109272482A (en) * 2018-07-20 2019-01-25 浙江浩腾电子科技股份有限公司 A kind of urban road crossing vehicle queue detection system based on sequence image
WO2019138838A1 (en) * 2018-01-12 2019-07-18 日本電気株式会社 Facial recognition device
CN111540072A (en) * 2020-04-23 2020-08-14 深圳智优停科技有限公司 Parking space management service method, equipment and system
CN111613085A (en) * 2020-05-21 2020-09-01 正则控股有限公司 Parking lot management system based on big data
CN111710173A (en) * 2020-08-18 2020-09-25 成都宜泊信息科技有限公司 Fake license plate recognition system and method
CN113362212A (en) * 2021-06-03 2021-09-07 安徽富煌科技股份有限公司 Vehicle-mounted equipment and energy consumption based bicycle cost accounting algorithm
CN113487905A (en) * 2021-06-09 2021-10-08 海南漫游谷电子商务有限公司 Parking lot parking space prediction method and server
CN114066469A (en) * 2021-11-23 2022-02-18 四川易智停科技有限公司 Order combination method, equipment and medium
CN114155363A (en) * 2021-12-01 2022-03-08 中国南方电网有限责任公司超高压输电公司广州局 Converter station vehicle identification method and device, computer equipment and storage medium
CN114446088A (en) * 2022-02-16 2022-05-06 成都宜泊信息科技有限公司 Parking space management method, management system, storage medium and electronic equipment

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107332996A (en) * 2017-06-30 2017-11-07 广东欧珀移动通信有限公司 Screen locking control method, device, computer can storage medium and mobile terminals
CN109345522A (en) * 2018-09-25 2019-02-15 北京市商汤科技开发有限公司 A kind of picture quality screening technique and device, equipment and storage medium
CN110853391A (en) * 2019-11-11 2020-02-28 王新晓 Intelligent shared parking system
CN111311956A (en) * 2020-05-14 2020-06-19 成都宜泊信息科技有限公司 Parking space data management system and method of stereo garage
CN113257004B (en) * 2021-06-03 2021-09-21 成都宜泊信息科技有限公司 Parking space management method and system, storage medium and electronic equipment

Patent Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103065370A (en) * 2012-12-21 2013-04-24 南京九竹科技实业有限公司 Intelligent parking charging management system based on vehicle environment protection electronic tag
JP2015203884A (en) * 2014-04-10 2015-11-16 富士通株式会社 Terminal device, display control program and display control method
WO2018233005A1 (en) * 2017-06-19 2018-12-27 深圳市盛路物联通讯技术有限公司 Mobile network-based parking fee collection method and system
WO2019138838A1 (en) * 2018-01-12 2019-07-18 日本電気株式会社 Facial recognition device
CN109272482A (en) * 2018-07-20 2019-01-25 浙江浩腾电子科技股份有限公司 A kind of urban road crossing vehicle queue detection system based on sequence image
CN108986539A (en) * 2018-09-19 2018-12-11 北京通智能科技有限公司 Parking management system, method, vehicle information collecting device and management server
CN111540072A (en) * 2020-04-23 2020-08-14 深圳智优停科技有限公司 Parking space management service method, equipment and system
CN111613085A (en) * 2020-05-21 2020-09-01 正则控股有限公司 Parking lot management system based on big data
CN111710173A (en) * 2020-08-18 2020-09-25 成都宜泊信息科技有限公司 Fake license plate recognition system and method
CN113362212A (en) * 2021-06-03 2021-09-07 安徽富煌科技股份有限公司 Vehicle-mounted equipment and energy consumption based bicycle cost accounting algorithm
CN113487905A (en) * 2021-06-09 2021-10-08 海南漫游谷电子商务有限公司 Parking lot parking space prediction method and server
CN114066469A (en) * 2021-11-23 2022-02-18 四川易智停科技有限公司 Order combination method, equipment and medium
CN114155363A (en) * 2021-12-01 2022-03-08 中国南方电网有限责任公司超高压输电公司广州局 Converter station vehicle identification method and device, computer equipment and storage medium
CN114446088A (en) * 2022-02-16 2022-05-06 成都宜泊信息科技有限公司 Parking space management method, management system, storage medium and electronic equipment

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
利用相似性比较提取车轮图像;周焰等;《计算机辅助设计与图形学学报》;20031220(第12期);全文 *
非严格优先权下许可相位左转车辆侵占时距分布模型;曲昭伟等;《交通运输系统工程与信息》;20180415(第02期);全文 *

Also Published As

Publication number Publication date
CN114821830A (en) 2022-07-29

Similar Documents

Publication Publication Date Title
CN107195004B (en) Three video camera Car license recognition toll collection systems and car plate precise recognition method
CN101814202B (en) Vehicle toll supervision method
CN107527012A (en) Make a dash across the red light monitoring method, device and monitoring processing equipment
CN110956817B (en) Vehicle-mounted unit awakening method, device and system
CN111898485A (en) Parking space vehicle detection processing method and device
CN111523527B (en) Special transport vehicle monitoring method and device, medium and electronic equipment
CN110517500A (en) A kind of people's vehicle association process method and device
CN104794906A (en) Vehicle management platform of outdoor parking lot exit
CN110310378A (en) A kind of open type parking ground parking charge method and system based on double mirror
CN104183156A (en) Intelligent parking lot managing system
CN111738083A (en) Training method and device for face recognition model
CN109242990B (en) Parking charging method and device for parking lot
CN114821830B (en) In-road parking management method, system, equipment and storage medium
CN111754642A (en) Management method and management device for shared parking lot and terminal
CN110909742A (en) License plate detection method, system, platform and storage medium
CN110853364B (en) Data monitoring method and device
CN108806273A (en) A kind of non-at-scene law enforcement detection of overload is intelligent to block stop system
CN203192064U (en) System for intelligent management of parking lot
CN113593256B (en) Unmanned aerial vehicle intelligent driving-away control method and system based on city management and cloud platform
CN109035450A (en) Mobile sentry box implementation method, medium and device based on cloud platform
CN115171053A (en) Roadside parking detection method and system and electronic equipment
CN108510746A (en) Track tied mechanism based on big data analysis and data mining
CN107622532A (en) Parking charging method and device, computer device and readable storage medium
CN114005186A (en) License plate recognition method and device and parking management system
CN110288740A (en) A kind of vehicles management method and system based on AI intellectual analysis

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant